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Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics

11th European Conference, EvoBIO 2013, Vienna, Austria, April 3-5, 2013, Proceedings

Jezik EngleskiEngleski
Knjiga Meki uvez
Knjiga Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics Leonardo Vanneschi
Libristo kod: 01663324
Nakladnici Springer, Berlin, studeni 2012
This book constitutes the refereed proceedings of the 11th European Conference on Evolutionary Compu... Cijeli opis
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This book constitutes the refereed proceedings of the 11th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2013, held in Vienna, Austria, in April 2013, colocated with the Evo 2013 events EuroGP, EvoCOP, EvoMUSART and EvoApplications. The 10 revised full papers presented together with 9 poster papers were carefully reviewed and selected from numerous submissions. The papers cover a wide range of topics in the field of biological data analysis and computational biology. They address important problems in biology, from the molecular and genomic dimension to the individual and population level, often drawing inspiration from biological systems in oder to produce solutions to biological problems.

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Informacije o knjizi

Puni naziv Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
Autor Leonardo Vanneschi, William S. Bush, Mario Giacobini
Jezik Engleski
Uvez Knjiga - Meki uvez
Datum izdanja 2013
Broj stranica 217
EAN 9783642371882
ISBN 3642371884
Libristo kod 01663324
Nakladnici Springer, Berlin
Težina 359
Dimenzije 158 x 236 x 13

Kategorija

Computing & Information Technology > Computer science > Artificial intelligence > Expert systems / knowledge-based systems
Computing & Information Technology > Computer science > Human–computer interaction > User interface design & usability
Mathematics & Science > Biology, life sciences > Life sciences: general issues
Computing & Information Technology > Computer programming / software engineering > Algorithms & data structures
Computing & Information Technology > Databases > Data mining
Computing & Information Technology > Information technology: general issues
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